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Ajout graphiques CA par groupes

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This commit is contained in:
thienan
2021-06-15 15:40:25 +02:00
parent 19cc99d7ff
commit 6902e04e54
7 changed files with 524 additions and 489 deletions
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1
.vscode/settings.json vendored
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@@ -1,2 +1,3 @@
{
"html.validate.scripts": false
}

2
mondumas.egg-info/SOURCES.txt
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@@ -25,6 +25,7 @@ mondumas/models/default.py
mondumas/models/devis.py
mondumas/models/dossier.py
mondumas/models/parametres.py
mondumas/models/stats.py
mondumas/models/utils.py
mondumas/scripts/__init__.py
mondumas/views/__init__.py
@@ -34,4 +35,5 @@ mondumas/views/devis.py
mondumas/views/dossier.py
mondumas/views/notfound.py
mondumas/views/parametres.py
mondumas/views/stats.py
mondumas/views/utils.py

29
mondumas/models/stats.py
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@@ -11,6 +11,7 @@ from zope.sqlalchemy import (
)
from datetime import *
from dateutil.relativedelta import *
import dateutil.relativedelta
import transaction
@@ -47,15 +48,31 @@ def get_stats_delai_groupe(request, societe, datedeb, datefin):
results = request.dbsession.execute(query, {'societe': societe, 'datedeb': datedeb.strftime("%Y%m"), 'datefin': datefin.strftime("%Y%m")})
return results.fetchall()
def get_ca_groupe_12m(request, societe):
def get_ca_groupe_12m(request, societe, datedeb, datefin):
query = """SELECT DATE_FORMAT(date, "%Y%m") as yymm,
DATE_FORMAT(date, "%M") as mois,
DATE_FORMAT(date, "%M %Y") as date,
SUM(IF(groupe = 'AXA', totalht, 0)) AS AXA_ca,
sum(IF(groupe = 'AXA', 1, 0)) AS AXA_nb,
SUM(IF(groupe = 'MAIF', totalht, 0)) AS MAIF
SUM(IF(groupe = 'AXA', 1, 0)) AS AXA_nb,
SUM(IF(groupe = 'MAIF', totalht, 0)) AS MAIF_ca,
SUM(IF(groupe = 'MAIF', 1, 0)) AS MAIF_nb
FROM bddevfac.facture
WHERE societe='PE' and date >= "2020/07/01" and date <= "2021/06/30" GROUP BY yymm;"""
results = request.dbsession.execute(query, {'societe': societe}).fetchall()
return results
WHERE societe=:societe and date >= :datedeb and date <= :datefin GROUP BY yymm;"""
results = request.dbsession.execute(query, {'societe': societe, 'datedeb': datedeb.strftime("%Y%m"), 'datefin': datefin.strftime("%Y%m")})
return results.fetchall()
def get_ca_groupe_3y(request, societe, datedeb):
date2 = datedeb + relativedelta(years=-1)
date3 = datedeb + relativedelta(years=-2)
query = """SELECT groupe,
SUM(IF (date_format(date, '%Y') = :date_n-2, TOTALHT, 0)) as Annee1,
SUM(IF (date_format(date, '%Y') = :date_n-1, TOTALHT, 0)) as Annee2,
SUM(IF (date_format(date, '%Y') = :date_n, TOTALHT, 0)) as Annee3
FROM bddevfac.facture
WHERE societe=:societe GROUP BY groupe;"""
results = request.dbsession.execute(query, {'societe': societe, 'date_n': date3.strftime("%Y"), 'date_n-1': date2.strftime("%Y"), 'date_n': datedeb.strftime("%Y")})
return results.fetchall()

107
mondumas/templates/stats/ca_groupes_12m.pt
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@@ -18,75 +18,68 @@
</div>
<div class="row">
<!-- graphique 1ER CONTACT -->
<div id="barChart_annee1" style="width: 100%; height: 500px;"></div>
<!-- Histogramme CA sur 12 mois par groupe -->
<div id="chart_ca_12m" style="width: 100%; height: 500px;"></div>
</div>
<div class="row">
<!-- camembert 1 -->
<div class="col-sm-4">
<div id="chart_ca_3y_1" style="width: 100%; height: 500px;"></div>
</div>
<div class="col-sm-4">
<div id="chart_ca_3y_2" style="width: 100%; height: 500px;"></div>
</div>
<div class="col-sm-4">
<div id="chart_ca_3y_3" style="width: 100%; height: 500px;"></div>
</div>
</div>
<script type="text/javascript" src="https://www.gstatic.com/charts/loader.js"></script>
<script type="text/javascript">
google.charts.load("current", {packages:["corechart", 'bar']});
google.charts.load("current", {packages:["corechart"]});
google.charts.setOnLoadCallback(drawChart);
var dataSet_annee1 = ${barChart_annee1};
var dataSet_annee2 = ${barChart_annee2};
var dataSet_annee3 = ${barChart_annee3};
var dataSet_annee4 = ${barChart_annee4};
var dataSet_ca_12m = ${chart_ca_12m};
var dataSet_ca_3y_1 = ${chart_ca_3y_1};
var dataSet_ca_3y_2 = ${chart_ca_3y_2};
var dataSet_ca_3y_3 = ${chart_ca_3y_3};
function drawChart() {
var data_annee1 = google.visualization.arrayToDataTable(dataSet_annee1);
var data_annee2 = google.visualization.arrayToDataTable(dataSet_annee2);
var data_annee3 = google.visualization.arrayToDataTable(dataSet_annee3);
var data_annee4 = google.visualization.arrayToDataTable(dataSet_annee4);
var data_ca_12m = google.visualization.arrayToDataTable(dataSet_ca_12m);
var options_annee1 = {
var data_ca_3y_1 = google.visualization.arrayToDataTable(dataSet_ca_3y_1);
var data_ca_3y_2 = google.visualization.arrayToDataTable(dataSet_ca_3y_2);
var data_ca_3y_3 = google.visualization.arrayToDataTable(dataSet_ca_3y_3);
var options_ca_12m = {
title: '${title}',
vAxis: {title: "Chiffre d'Affaires en €"},
isStacked: true
};
var options_ca_3y_1 = {
title: '${title1}',
seriesType: 'bars',
series: {1: {type: 'line'}},
vAxis: {
viewWindow: {
min:0
}
}
};
var options_annee2 = {
title: '${title2}',
seriesType: 'bars',
series: {1: {type: 'line'}},
vAxis: {
viewWindow: {
min:0
}
}
};
var options_annee3 = {
title: '${title3}',
seriesType: 'bars',
series: {1: {type: 'line'}},
vAxis: {
viewWindow: {
min:0
}
}
};
var options_annee4 = {
title: '${title4}',
seriesType: 'bars',
series: {1: {type: 'line'}},
vAxis: {
viewWindow: {
min:0
}
}
};
var chart_annee1 = new google.visualization.ComboChart(document.getElementById('barChart_annee1'));
chart_annee1.draw(data_annee1, options_annee1);
var chart_annee2 = new google.visualization.ComboChart(document.getElementById('barChart_annee2'));
chart_annee2.draw(data_annee2, options_annee2);
var chart_annee3 = new google.visualization.ComboChart(document.getElementById('barChart_annee3'));
chart_annee3.draw(data_annee3, options_annee3);
var chart_annee4 = new google.visualization.ComboChart(document.getElementById('barChart_annee4'));
chart_annee4.draw(data_annee4, options_annee4);
var options_ca_3y_2 = {
title: '${title2}',
};
var options_ca_3y_3 = {
title: '${title3}',
};
var chart_ca_12m = new google.visualization.SteppedAreaChart(document.getElementById('chart_ca_12m'));
chart_ca_12m.draw(data_ca_12m, options_ca_12m);
var chart_ca_3y_1 = new google.visualization.PieChart(document.getElementById('chart_ca_3y_1'));
chart_ca_3y_1.draw(data_ca_3y_1, options_ca_3y_1);
var chart_ca_3y_2 = new google.visualization.PieChart(document.getElementById('chart_ca_3y_2'));
chart_ca_3y_2.draw(data_ca_3y_2, options_ca_3y_2);
var chart_ca_3y_3 = new google.visualization.PieChart(document.getElementById('chart_ca_3y_3'));
chart_ca_3y_3.draw(data_ca_3y_3, options_ca_3y_3);
}
</script>

66
mondumas/views/stats.py
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@@ -170,38 +170,60 @@ def ca_groupes_12m(request):
if 'societe' in request.params:
societe = request.params["societe"]
# lire les groupes
groupes = get_stats_delai_groupe(request, societe, datedeb, datefin)
# mémoriser le 1er de la liste
groupe = groupes[0].group2
# si groupe a été changé par le user
if 'groupe' in request.params:
groupe = request.params["groupe"]
# lire les délais CONTACT du groupe
items = get_ca_groupe_12m(request, societe, datedeb, datefin, groupe, 'delai_contact')
barChart_annee1 = []
# lire les CA par mois
items = get_ca_groupe_12m(request, societe, datedeb, datefin)
chart_ca_12m = []
# titre des colonnes
barChart_annee1.append(('Mois', 'AXA', {'role': 'annotation'}, { 'type':'string','role': 'tooltip'} , 'Moy. Dumas'))
title1 = '1er CONTACT'
chart_ca_12m.append(('Mois', 'AXA', { 'type':'string','role': 'tooltip'}, 'MAIF', { 'type':'string','role': 'tooltip'}))
title = 'CA / MOIS'
for item in items:
# construire la liste pour donut cible
tooltip = item.group1_lib + '\nMoyennne: -'+str(round(item.moyenne))+' j\nDossiers: '+str(round(item.population))
tooltipMAIF = item.date + ' \nCA: '+str(item.MAIF_ca) + ' €\nDossiers: '+str(round(item.MAIF_nb))
tooltipAXA = item.date + ' \nCA: '+str(item.AXA_ca) + ' €\nDossiers: '+str(round(item.AXA_nb))
# ('+str(item.population)+')/n'
d = (item.mois, round(item.moyenne), str(round(item.moyenne))+'j', tooltip, round(item.moy_ref))
barChart_annee1.append(d)
d = (item.mois, float(item.AXA_ca), tooltipAXA, float(item.MAIF_ca), tooltipMAIF)
chart_ca_12m.append(d)
# debut = aujourd'hui - 11 mois
datedeb = date.today()
datedeb.replace(month=1,day=1)
# lire les CA par mois
items = get_ca_groupe_3y(request, societe, datedeb)
chart_ca_3y_1 = []
chart_ca_3y_2 = []
chart_ca_3y_3 = []
# titre des colonnes
chart_ca_3y_1.append(('Groupe', 'CA'))
chart_ca_3y_2.append(('Groupe', 'CA'))
chart_ca_3y_3.append(('Groupe', 'CA'))
title1 = 'CA ' + (datedeb + relativedelta(years=-2)).strftime("%Y")
title2 = 'CA ' + (datedeb + relativedelta(years=-1)).strftime("%Y")
title3 = 'CA ' + datedeb.strftime("%Y")
for item in items:
# construire la liste pour donut cible
#tooltipMAIF = item.date + ' \nCA: '+str(item.MAIF_ca) + ' €\nDossiers: '+str(round(item.MAIF_nb))
#tooltipAXA = item.date + ' \nCA: '+str(item.AXA_ca) + ' €\nDossiers: '+str(round(item.AXA_nb))
# ('+str(item.population)+')/n'
d1 = (item.groupe, float(item.Annee1))
chart_ca_3y_1.append(d1)
d2 = (item.groupe, float(item.Annee2))
chart_ca_3y_2.append(d2)
d3 = (item.groupe, float(item.Annee3))
chart_ca_3y_3.append(d3)
return {
'page_title': "Délais / mois",
'page_title': "CA par groupe",
'url': url,
'barChart_annee1': json.dumps(barChart_annee1),
'chart_ca_12m': json.dumps(chart_ca_12m),
'chart_ca_3y_1': json.dumps(chart_ca_3y_1),
'chart_ca_3y_2': json.dumps(chart_ca_3y_2),
'chart_ca_3y_3': json.dumps(chart_ca_3y_3),
'title': title,
'title1': title1,
'title2': title2,
'title3': title3,
'societes': societes,
'societe': societe,
'groupes': groupes,
'groupe': groupe,
}